tfjs-model-blazeface/esm/index.js

tfjs model blazeface for local environment

/**
 * @license
 * Copyright 2019 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
import * as tfconv from '@tensorflow/tfjs-converter';
import { BlazeFaceModel } from './face';
const DEFAULT_MODLE_URL = 'https://unpkg.com/local-tfjs-models@0.0.0/blazeface/0.0.1/model.json';
/**
 * Load blazeface.
 *
 * @param config A configuration object with the following properties:
 *  `maxFaces` The maximum number of faces returned by the model.
 *  `inputWidth` The width of the input image.
 *  `inputHeight` The height of the input image.
 *  `iouThreshold` The threshold for deciding whether boxes overlap too
 * much.
 *  `scoreThreshold` The threshold for deciding when to remove boxes based
 * on score.
 */
export async function load({ maxFaces = 10, inputWidth = 128, inputHeight = 128, iouThreshold = 0.3, scoreThreshold = 0.75 } = {}, modelUrl = DEFAULT_MODLE_URL) {
    const blazeface = await tfconv.loadGraphModel(modelUrl);
    const model = new BlazeFaceModel(blazeface, inputWidth, inputHeight, maxFaces, iouThreshold, scoreThreshold);
    return model;
}
export { BlazeFaceModel } from './face';